Data Engineer, Places

Paris on site Until 9/29/2026 First posted July 31, 2026 Last posted July 31, 2026
Job description

What You’ll Do

  • Build pipelines for place and location-related data.

  • Work with noisy real-world signals and large geospatial datasets.

  • Improve quality, reliability, and observability of derived datasets.

  • Define metrics and feedback loops for data quality and attribution.

  • Prototype in Python, SQL, notebooks, or similar tools.

  • Integrate scoped production experiments with amo’s backend systems.

  • Run offline evaluations and A/B tests where relevant.

Must Have

  • Strong Python and SQL.

  • Production experience with Python or Scala.

  • Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg.

  • Experience with large datasets and data pipelines.

  • Experience with geospatial data, POI datasets, place matching, or similar real-world entity data.

  • Comfort with metrics, experimentation, and data quality measurement.

  • Comfort working near backend systems and reading production code.

Nice To Have

  • Experience in maps, mobility, local search, POI data, or geospatial systems.

  • Experience with ranking, recommendations, embeddings, or entity resolution.

  • Experience with Flink or similar stream processing systems.

  • Experience reading or making scoped changes in Rust-backed systems.

Life at amo

To ensure that everyone is set up for success within our way of working, we work together onsite 5 days a week.

We wanted to make sure coming to the office was as comfortable as possible for you:

  • We chose a location in central Paris, near Opera (Metro lines 3,8,9 and RER A).

  • We have a beautiful Parisian-style office with high ceilings, balconies, and huge windows. So a lot of natural light!

Because life outside of work should also be stress-free, we cover:

  • Health care (100% coverage).

  • Maternity Leave, Paternity Leave, Second Parent Leave (salary maintained at 100%).

  • Vacation days: 8-9 weeks (total) per year - (European summer? 🥹😎).

    • 5 weeks of paid time off (by the state);

    • 1-2 additional weeks (RTT, based on our company contract);

    • ~11 bank holidays.

      We shut down entirely twice a year, two weeks in summer and one week in winter to allow everyone to truly recharge and to avoid prolonged slowdowns (especially in the summer). These pauses are part of your total vacation time, giving everyone a real chance to unplug and recharge. No Slack, no email, no FOMO.

About this role

Summary

Build and improve geospatial data pipelines, work with large datasets, and improve data quality.

Job title

Data Engineer, Places

Experience level

production-level experience with Python or Scala

Industry

software

Location requirements

Paris, onsite work only, no remote option

Salary

Not specified

Management role

No

Skills & keywords

Required skills

PythonSQLPySparkSpark SQLSpark StreamingParquetIceberggeospatial data

Preferred skills

mapsmobilitylocal searchPOI dataentity resolutionFlinkRust

Specializations

geospatialdata pipelinesSQLPythonbig data
Locations

Structured locations inferred from the posting.

Paris, France

On-site City